Results 11 to 20 of about 290,132 (291)

Longitudinal trajectories of pneumonia lesions and lymphocyte counts associated with disease severity among convalescent COVID-19 patients: a group-based multi-trajectory analysis

BMC Pulmonary Medicine, 2021
Background To explore the long-term trajectories considering pneumonia volumes and lymphocyte counts with individual data in COVID-19. Methods A cohort of 257 convalescent COVID-19 patients (131 male and 126 females) were included.
Nannan Shi, Chao Huang, Qi Zhang, Chunzi Shi, Fengjun Liu, Fengxiang Song, Qinguo Hou, Jie Shen, Fei Shan, Xiaoming Su, Cheng Liu, Zhiyong Zhang, Lei Shi, Yuxin Shi   +13 more
doaj   +1 more source

Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer

Nature Communications, 2022
Resistance to EGFR inhibitors presents a major obstacle in treating non-small cell lung cancer. Here, the authors develop a recommender system ranking genes based on trade-offs between diverse types of evidence linking them to potential mechanisms of ...
Anna Gogleva, Dimitris Polychronopoulos, Matthias Pfeifer, Vladimir Poroshin, Michaël Ughetto, Matthew J. Martin, Hannah Thorpe, Aurelie Bornot, Paul D. Smith, Ben Sidders, Jonathan R. Dry, Miika Ahdesmäki, Ultan McDermott, Eliseo Papa, Krishna C. Bulusu   +14 more
doaj   +1 more source

A Survey on Multimodal Knowledge Graphs: Construction, Completion and Applications

Mathematics, 2023
As an essential part of artificial intelligence, a knowledge graph describes the real-world entities, concepts and their various semantic relationships in a structured way and has been gradually popularized in a variety practical scenarios.
Yong Chen, Xinkai Ge, Shengli Yang, Linmei Hu, Jie Li, Jinwen Zhang   +5 more
doaj   +1 more source

A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19)

Scientific Reports, 2021
This study aims to explore and compare a novel deep learning-based quantification with the conventional semi-quantitative computed tomography (CT) scoring for the serial chest CT scans of COVID-19.
Feng Pan, Lin Li, Bo Liu, Tianhe Ye, Lingli Li, Dehan Liu, Zezhen Ding, Guangfeng Chen, Bo Liang, Lian Yang, Chuansheng Zheng   +10 more
doaj   +1 more source

Text-Graph Enhanced Knowledge Graph Representation Learning

Frontiers in Artificial Intelligence, 2021
Knowledge Graphs (KGs) such as Freebase and YAGO have been widely adopted in a variety of NLP tasks. Representation learning of Knowledge Graphs (KGs) aims to map entities and relationships into a continuous low-dimensional vector space.
Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang, Zhiyuan Liu   +6 more
doaj   +1 more source

Analysis of Knowledge Graph Path Reasoning Based on Variational Reasoning

Applied Sciences, 2022
Knowledge graph (KG) reasoning improves the perception ability of graph structure features, improving model accuracy and enhancing model learning and reasoning capabilities.
Hongmei Tang, Wenzhong Tang, Ruichen Li, Yanyang Wang, Shuai Wang, Lihong Wang   +5 more
doaj   +1 more source

A solution and practice for combining multi-source heterogeneous data to construct enterprise knowledge graph

Frontiers in Big Data, 2023
The knowledge graph is one of the essential infrastructures of artificial intelligence. It is a challenge for knowledge engineering to construct a high-quality domain knowledge graph for multi-source heterogeneous data.
Chenwei Yan, Chenwei Yan, Xinyue Fang, Xiaotong Huang, Xiaotong Huang, Chenyi Guo, Ji Wu   +6 more
doaj   +1 more source

An Accurate Matching Query Method of Natural Language Knowledge Graph Based on Hierarchical Graph Topological Sequence

IEEE Access, 2022
In recent years, although the application of knowledge graph in natural language processing has made some progress, there are still some key problems to be solved, especially the matching query problem in natural language knowledge graph. Since the basic
Qifeng Zou, Chaoze Lu
doaj   +1 more source

MSEN: A Multi-Scale Evolutionary Network for Modeling the Evolution of Temporal Knowledge Graphs

Future Internet, 2023
Temporal knowledge graphs play an increasingly prominent role in scenarios such as social networks, finance, and smart cities. As such, research on temporal knowledge graphs continues to deepen.
Yong Yu, Shudong Chen, Rong Du, Da Tong, Hao Xu, Shuai Chen   +5 more
doaj   +1 more source

A Dynamic Convolutional Network-Based Model for Knowledge Graph Completion

Information, 2022
Knowledge graph embedding can learn low-rank vector representations for knowledge graph entities and relations, and has been a main research topic for knowledge graph completion.
Haoliang Peng, Yue Wu
doaj   +1 more source